Insurance Analytics Insurance Analytics
Analytics

Insurance Analytics

Intense competition, shifting customer loyalties and a stringent regulatory environment are some of the primary imperatives facing insurers. Insurance companies are now under pressure to change their business models, streamline operations and improve process efficiencies.

WNS' insurance analytics solutions span the insurance value chain of property and casualty, life, pensions, and annuity. These solutions are built on deep experience of delivering business insights for several of the world’s leading insurers. We combine domain expertise, strong talent and operational excellence that allow insurers to focus on their core business while we harness analytics to help them gain a competitive edge.

Services

WNS Insurance Claims Analytics

Claims Analytics

Claim process is a critical component to achieve operational efficiency and provide better customer experience. Improving claims has become important for insurers to protect revenue and profitability. Though fast-tracking of claims process improves the customer experience, it can increase the risk of fraud. WNS provides end-to-end claim analytics solutions to accelerate the processing of claims and reduce the risk of fraud.

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WNS Insurance Fraud Analytics

Fraud Analytics

Early detection of fraud is a key challenge for the insurance organizations. Leakages arising out of fraudulent claims and underwriting impact margins. WNS’ comprehensive fraud analytics solution increases the detection rate and accuracy. Our solutions leverage text mining to tap both structured and unstructured data, including claim notes, call center notes, medical reports, police reports, e-mails, and web-based content.

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WNS End-To-End Data Observability

Subrogation Analytics

Insurers are using predictive analytics to identify subrogation opportunities and turn to arbitration as the means to resolve disputes. WNS’ subrogation analytics solution increases the yield through the use of advanced text analytics and predictive modeling. Predictive modeling identifies factors that drive successful subrogation recovery based on the data, patterns, business rules and other related characteristics.

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WNS Insurance Customer Analytics

Customer Analytics

WNS’ customer analytics solutions help clients acquire new customers, enhance customer engagement with a particular product or service through cross-sell / up-sell propositions.

DEEP DIVE


 
 
 

WNS Advantage

WNS is one of the leading providers of analytics services to the insurance industry. Our customer-centric approach, deep insurance domain expertise, global delivery network and strong focus on operational excellence, combined with innovative analytics solutions, enable us to help our clients differentiate in the insurance market.

  • Serving more than 30 clients including insurers, brokers, loss assessors, and the self-insured auto fleet owners fraternity

  • A rich talent pool possessing deep domain expertise, managing core industry-specific processes, besides actuarial and analytics

  • WNS Analytics Decision Engine (WADE)SM – a proprietary predictive analytics solution framework to drive better decision-making

 

End-to-end Analytics and Decision Support for Insurance Providers

Analytics and Decision Support - diagram

Awards & Recognitions

recogintion

A ‘High Performer’ in HfS Research Blueprint Report: Enterprise Analytics Services 2015

 

Testimonials

This allows Aviva to continue our working relationship with a provider that truly understands the insurance industry and has a tireless commitment to process excellence and customer care, making WNS our partner of choice.

Cathryn Riley, Chief Operating Officer, Norwich Union Life, Chairman, Aviva Global Services